Triple
T9696967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colette Tatou |
E234677
|
entity |
| Predicate | colleagueOf |
P398
|
FINISHED |
| Object | Remy |
E232243
|
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: Remy | Statement: [Colette Tatou, colleagueOf, Remy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Remy Context triple: [Colette Tatou, colleagueOf, Remy]
-
A.
Remy
chosen
Remy is the ambitious, food-loving rat and main protagonist of Pixar’s animated film "Ratatouille," known for his exceptional culinary talent and dream of becoming a chef in Paris.
-
B.
Riley
Riley is a given name commonly used for people of any gender in English-speaking countries.
-
C.
Riley
Riley is a surname most famously associated with Pat Riley, the legendary NBA coach and executive.
-
D.
Riley
Riley is the given name of Riley B. King, better known as the legendary blues musician B.B. King.
-
E.
Riley
Riley is a historic British automobile marque best known for its sporting and luxury cars produced during the early to mid-20th century.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3a88788190a4235a1ab33341ec |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1e3f844008190b73215136dae6fcd |
completed | April 5, 2026, 4:24 a.m. |
Created at: March 30, 2026, 8:18 p.m.