Triple
T2748005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joël Cantona |
E60915
|
entity |
| Predicate | playedFor |
P2170
|
FINISHED |
| Object | AS Nancy Lorraine |
E78951
|
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: AS Nancy Lorraine | Statement: [Joël Cantona, playedFor, AS Nancy Lorraine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AS Nancy Lorraine Context triple: [Joël Cantona, playedFor, AS Nancy Lorraine]
-
A.
Nancy
Nancy is a feminine given name of Hebrew origin meaning "grace" that became especially popular in English-speaking countries in the 20th century.
-
B.
Nancy
chosen
Nancy is a historic city in northeastern France renowned for its elegant 18th-century architecture and UNESCO-listed Place Stanislas.
-
C.
Nancy Wheeler
Nancy Wheeler is a determined and resourceful teenager in the series "Stranger Things," known for her investigative instincts and courage in confronting supernatural threats.
-
D.
Lori
Lori is a feminine given name commonly used in English-speaking countries, often as a diminutive of Laura or Lorraine.
-
E.
Nancy Montgomery
Nancy Montgomery is a pivotal character in Margaret Atwood’s novel "Alias Grace," serving as the housekeeper and mistress whose murder becomes central to the story’s mystery.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb4ff7b08190b72edb6a2bc5fd19 |
completed | March 7, 2026, 8:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbd341a88190ae0f5eb94a6fdc92 |
completed | March 10, 2026, 6:36 a.m. |
Created at: March 6, 2026, 9:56 p.m.