Triple
T3624308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michelle Gomez |
E76799
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Michelle |
E72277
|
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: Michelle | Statement: [Michelle Gomez, givenName, Michelle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michelle Context triple: [Michelle Gomez, givenName, Michelle]
-
A.
Michelle
chosen
Michelle is a Fossil Group watch and accessories brand known for its fashion-forward, feminine designs and luxury-inspired styling.
-
B.
Hilary
Hilary is a given name most notably borne by the influential American philosopher Hilary Putnam.
-
C.
Jane Pierce
Jane Pierce was the third wife of early English colonist John Rolfe, known for her connection to the Jamestown settlement in colonial Virginia.
-
D.
Condoleezza
Condoleezza is the distinctive given name of Condoleezza Rice, the American political scientist and former U.S. Secretary of State.
-
E.
Mary Tyler
Mary Tyler was the wife of U.S. Supreme Court Justice Henry Billings Brown, a prominent jurist who served on the Court in the late 19th and early 20th centuries.
- 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_69ad85dc03948190b35b7189e4175bcc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2d9845c8190ad65b2471000dfa0 |
completed | March 8, 2026, 6:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4332260cc8190964a15bfee0a3b61 |
completed | March 13, 2026, 3:54 p.m. |
Created at: March 8, 2026, 3:23 p.m.