Triple
T15045430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disclosure |
E379213
|
entity |
| Predicate | EP |
P15272
|
FINISHED |
| Object | The Face |
E835923
|
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: The Face | Statement: [Disclosure, EP, The Face]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Face Context triple: [Disclosure, EP, The Face]
-
A.
The Face
chosen
"The Face" is a song by British rock band Kings of Leon from their 2010 album *Come Around Sundown*.
-
B.
A Face
"A Face" is a poem by Robert Browning that explores themes of beauty, perception, and the emotional power conveyed through a human face.
-
C.
Here a Face, There a Face
"Here a Face, There a Face" is a children's picture book by photographer and author Arlene Alda that invites young readers to discover faces in everyday objects and surroundings.
-
D.
"Faces"
"Faces" is an episode of Star Trek: Voyager in which B'Elanna Torres is split into separate human and Klingon versions of herself by the organ-harvesting Vidiian race.
-
E.
The Face That Must Die
The Face That Must Die is a psychological horror novel by British author Ramsey Campbell, focusing on a paranoid, violent man whose delusions drive him toward murder in a grimly realistic urban setting.
- 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_69d85cd64d108190853797a95c11cc45 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded830c3c08190a87b81abbbb75377 |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de54380819084568664b63322d2 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 3 a.m.