Triple
T17365863
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Last Splash |
E422187
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Hag
"Hag" is a track from the Breeders' influential 1993 alternative rock album "Last Splash."
|
E1265254
|
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: Hag | Statement: [Last Splash, hasPart, Hag]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hag Context triple: [Last Splash, hasPart, Hag]
-
A.
Hagaz
Hagaz is a town in Eritrea’s Anseba region, known primarily as an agricultural and local administrative center.
-
B.
Hagrites
The Hagrites were a nomadic people or tribal group mentioned in the Hebrew Bible, often depicted as adversaries of Israel in the Transjordan region.
-
C.
HAG
HAG is the abbreviation for the Hagerstown Flying Boxcars, a sports team based in Hagerstown, Maryland.
-
D.
Haghi
Haghi is a masterful and manipulative criminal mastermind and spymaster, best known as the primary antagonist in Fritz Lang’s silent espionage film "Spies."
-
E.
Haiger
Haiger is a small town in the German state of Hesse, known for its location in the Lahn-Dill district near the borders with North Rhine-Westphalia and Rhineland-Palatinate.
- 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: Hag Triple: [Last Splash, hasPart, Hag]
Generated description
"Hag" is a track from the Breeders' influential 1993 alternative rock album "Last Splash."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hag Target entity description: "Hag" is a track from the Breeders' influential 1993 alternative rock album "Last Splash."
-
A.
Hagaz
Hagaz is a town in Eritrea’s Anseba region, known primarily as an agricultural and local administrative center.
-
B.
Hagrites
The Hagrites were a nomadic people or tribal group mentioned in the Hebrew Bible, often depicted as adversaries of Israel in the Transjordan region.
-
C.
HAG
HAG is the abbreviation for the Hagerstown Flying Boxcars, a sports team based in Hagerstown, Maryland.
-
D.
Haghi
Haghi is a masterful and manipulative criminal mastermind and spymaster, best known as the primary antagonist in Fritz Lang’s silent espionage film "Spies."
-
E.
Haiger
Haiger is a small town in the German state of Hesse, known for its location in the Lahn-Dill district near the borders with North Rhine-Westphalia and Rhineland-Palatinate.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a50c9ec8190b518fdf80808af53 |
completed | April 19, 2026, 2:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019564d2c0819095337b6e769d9ff5 |
completed | May 11, 2026, 8:37 a.m. |
| NEDg | Description generation | batch_6a019b7b645c819087040b18ee447321 |
completed | May 11, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a019c8392d8819098317ff88a5c6e06 |
completed | May 11, 2026, 9:08 a.m. |
Created at: April 10, 2026, 5:44 a.m.