Triple
T2436870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juliette Binoche |
E52980
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Damage |
E145060
|
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: Damage | Statement: [Juliette Binoche, notableWork, Damage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Damage Context triple: [Juliette Binoche, notableWork, Damage]
-
A.
Damage
chosen
"Damage" is a 1992 British-French psychological drama film directed by Louis Malle, in which Miranda Richardson delivers an acclaimed performance as the betrayed wife of a politician entangled in a destructive affair.
-
B.
Scar
Scar is the cunning and power-hungry lion antagonist in Disney's animated film "The Lion King," known for plotting to overthrow his brother Mufasa and nephew Simba.
-
C.
Burn
"Burn" is a hit pop and EDM-influenced song co-written and produced by Ryan Tedder, best known for being performed by British singer Ellie Goulding.
-
D.
Burn
Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
-
E.
Burns
Burns is a common Scottish surname most famously associated with the poet Robert Burns.
- 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_69ab4959bcc0819083246f9fb10439e3 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abc9f342e88190a430b02842ded418 |
completed | March 7, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aebf7085b88190938c4eefa4380970 |
completed | March 9, 2026, 12:39 p.m. |
Created at: March 6, 2026, 9:43 p.m.