Triple
T4026771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sons of Anarchy Season 1 Episode 1 |
E83608
|
entity |
| Predicate | featuresDocument |
P2003
|
FINISHED |
| Object | John Teller’s manuscript |
—
|
LITERAL FINISHED |
How this triple was built (2 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: John Teller’s manuscript | Statement: [Sons of Anarchy Season 1 Episode 1, featuresDocument, John Teller’s manuscript]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresDocument Context triple: [Sons of Anarchy Season 1 Episode 1, featuresDocument, John Teller’s manuscript]
-
A.
featuresText
chosen
Indicates that an entity includes or presents a specific piece of text as one of its characteristics or contents.
-
B.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
C.
featuresFormat
Indicates that something (such as a product, service, or medium) is presented, delivered, or made available in a particular format or configuration.
-
D.
featuresSample
Indicates that an entity includes or presents a particular sample as one of its components or examples.
-
E.
featuresArtifact
Indicates that one entity prominently includes, presents, or showcases another entity as an artifact.
- F. None of above.
Provenance (3 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_69aed92e29ac819080f7a98b594fec05 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaed37e48190844032e7e77163e0 |
completed | March 9, 2026, 4:53 p.m. |
| PD | Predicate disambiguation | batch_69aef8fc78ec819092d4dab88d85a141 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:36 p.m.