Triple
T16508502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Albert Cobo |
E400993
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Cobo |
E844426
|
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: Cobo | Statement: [Albert Cobo, familyName, Cobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cobo Context triple: [Albert Cobo, familyName, Cobo]
-
A.
Cobo
chosen
Cobo is a diminutive form of the given name Jacobo, commonly used as a nickname in Spanish-speaking contexts.
-
B.
Fillmore Detroit
Fillmore Detroit is a historic live entertainment venue and former movie palace in downtown Detroit, known for hosting concerts and special events in an ornate, theater-style setting.
-
C.
Schary
Schary is a surname most notably associated with Dore Schary, an influential American film producer, screenwriter, and former head of MGM.
-
D.
Gaylord
Gaylord is a small city in northern Michigan known for its Alpine-themed architecture and outdoor recreation opportunities.
-
E.
Gaylord
Gaylord is a masculine given name of English origin, historically used as a first or middle name in the United States and other English-speaking countries.
- 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_69d88381f6148190819958a038be990e |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e54331c8190b3c4f9de95cbbc5e |
completed | April 18, 2026, 7:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a005832bcb48190a905ee7c9bff2c5b |
completed | May 10, 2026, 10:04 a.m. |
Created at: April 10, 2026, 5:14 a.m.