Triple
T22707308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L'Équipage |
E561490
|
entity |
| Predicate | originalTitle |
P65
|
FINISHED |
| Object | L'Équipage |
—
|
NE NERFINISHED |
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: L'Équipage | Statement: [L'Équipage, originalTitle, L'Équipage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: L'Équipage Context triple: [L'Équipage, originalTitle, L'Équipage]
-
A.
L'Équipage
chosen
L'Équipage is a 1923 novel by Joseph Kessel that portrays the lives, camaraderie, and moral conflicts of French bomber pilots during World War I.
-
B.
The Bounty
The Bounty is a 1984 historical drama film retelling the infamous mutiny on the HMS Bounty, featuring Edward Fox among its ensemble cast.
-
C.
The Bounty
The Bounty is a 1997 poetry collection by Nobel laureate Derek Walcott that meditates on aging, loss, and Caribbean identity with his characteristic lyrical and expansive style.
-
D.
The Ship
"The Ship" is a World War II naval novel by C. S. Forester that vividly portrays life aboard a British warship during a Mediterranean convoy battle.
-
E.
The Ship
The Ship is an informal nickname for the TARDIS, the Doctor’s time-traveling spacecraft and time machine in the long-running British science fiction series Doctor Who.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2454f1348819088d83f420925a5c1 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178cff7588190a40c8cef0f3cd44a |
completed | April 29, 2026, 3:19 a.m. |
Created at: April 17, 2026, 3:17 p.m.