Triple
T9789441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Insidious: Chapter 3 |
E237569
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Specs
Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
|
E821526
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Specs | Statement: [Insidious: Chapter 3, featuresCharacter, Specs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Specs Context triple: [Insidious: Chapter 3, featuresCharacter, Specs]
-
A.
Spek
Spek is a Canadian rapper and producer known for his work in the 1990s and early 2000s underground hip hop scene.
-
B.
A-Spec
A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
-
C.
Spektr
Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
-
D.
SPECTRA
SPECTRA is an advanced integrated electronic warfare and self-protection suite used on modern combat aircraft, notably the Dassault Rafale, to detect, jam, and counter threats.
-
E.
StackPower (on some models)
StackPower (on some Cisco Catalyst switch models) is a power-sharing and redundancy technology that lets multiple switches pool and distribute power dynamically across the stack.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Specs Triple: [Insidious: Chapter 3, featuresCharacter, Specs]
Generated description
Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Specs Target entity description: Specs is a quirky paranormal investigator and comic-relief character in the Insidious horror film series.
-
A.
Spek
Spek is a Canadian rapper and producer known for his work in the 1990s and early 2000s underground hip hop scene.
-
B.
A-Spec
A-Spec is Acura’s sport-oriented trim and styling package that enhances select models with more aggressive design cues and performance-focused features.
-
C.
Spektr
Spektr was a Russian-built science module of the Mir space station, primarily used for Earth observation and housing U.S. research equipment during the Shuttle–Mir program.
-
D.
SPECTRA
SPECTRA is an advanced integrated electronic warfare and self-protection suite used on modern combat aircraft, notably the Dassault Rafale, to detect, jam, and counter threats.
-
E.
StackPower (on some models)
StackPower (on some Cisco Catalyst switch models) is a power-sharing and redundancy technology that lets multiple switches pool and distribute power dynamically across the stack.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84da927881909bda80caecad6010 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda214875481909f39e1d4dbac1fdb |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c42c9fe081908145911cad6723c2 |
completed | April 5, 2026, 2:08 a.m. |
| NEDg | Description generation | batch_69d1c4eb7a0481908bbd72f6d28d4746 |
completed | April 5, 2026, 2:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1c5c0e6e88190bbf6eb379e6d1aa3 |
completed | April 5, 2026, 2:15 a.m. |
Created at: March 30, 2026, 8:27 p.m.