Triple
T3258047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zendaya |
E68343
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Coleman |
E233481
|
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: Coleman | Statement: [Zendaya, familyName, Coleman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coleman Context triple: [Zendaya, familyName, Coleman]
-
A.
Coleman
Coleman is a well-known outdoor recreation brand recognized for its camping gear, including tents, coolers, lanterns, and portable stoves.
-
B.
Coleman
chosen
Coleman is a given name most famously associated with American jazz saxophonist Coleman Hawkins, a pioneering figure in the development of the tenor saxophone in jazz.
-
C.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
D.
Lyman
Lyman is a masculine given name of English origin that has been borne by various notable figures, including the American clergyman and reformer Lyman Beecher.
-
E.
Lyman
Lyman is a small town located in Skagit County in the state of Washington, United States.
- 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_69ad858f74408190bcbd07f967cd7bd0 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaf6a46448190a7fa0ca83fa096f8 |
completed | March 8, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ed3a7908190bfab434a64af5f2f |
completed | March 12, 2026, 10 a.m. |
Created at: March 8, 2026, 3:09 p.m.