Triple
T17127769
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pinkerton |
E415642
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | El Scorcho |
E400737
|
NE 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: El Scorcho | Statement: [Pinkerton, hasPart, El Scorcho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: El Scorcho Context triple: [Pinkerton, hasPart, El Scorcho]
-
A.
El Scorcho
chosen
"El Scorcho" is an alternative rock song by the American band Weezer, known for its confessional lyrics and offbeat, emotionally charged style.
-
B.
Quemado
Quemado is a small rural community in western New Mexico known as a gateway to nearby ranchlands, forests, and outdoor recreation areas.
-
C.
The Scorch
The Scorch is a vast, post-apocalyptic desert wasteland ravaged by solar flares and disease in the Maze Runner universe.
-
D.
El Cata
El Cata is a Dominican singer, songwriter, and producer known for his influential role in modern merengue and Latin urban music, including collaborations with major international artists.
-
E.
El Charcón
El Charcón is a locality in El Salvador that serves as an international sister city partner to Binghamton, New York.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f0285a408190ae5e4c4679c07fbf |
completed | April 18, 2026, 8:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a145e7481909242aab69baeb7a0 |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.