Triple
T23906395
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | London After Midnight |
E601207
|
entity |
| Predicate | leadActorNickname |
P154038
|
FINISHED |
| Object | The Man of a Thousand Faces |
—
|
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: The Man of a Thousand Faces | Statement: [London After Midnight, leadActorNickname, The Man of a Thousand Faces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorNickname Context triple: [London After Midnight, leadActorNickname, The Man of a Thousand Faces]
-
A.
leadCharacterNickname
Indicates that one entity is the nickname commonly used for the lead (main) character of another entity.
-
B.
leadActorCurrentName
Indicates the current, primary name of the actor who plays the leading role in a work.
-
C.
originalLeadActorRole
Indicates the role originally played by a particular lead actor in a given production or work.
-
D.
leadActorUntilDeath
Indicates that an individual served as the lead actor in a production or series continuously up until their death.
-
E.
leadActorRolePattern
Indicates a recurring or characteristic type of role that an actor typically plays as a leading performer in productions.
- F. None of above. chosen
Provenance (4 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_69e295364a488190bcac702e9bb7f764 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1ce91144c8190b894e25a45dfd7c9 |
completed | April 29, 2026, 9:25 a.m. |
| PD | Predicate disambiguation | batch_69f1614e24b48190a1c8fb5b7c75ee0f |
completed | April 29, 2026, 1:39 a.m. |
| PDg | Predicate description generation | batch_69f167dca3608190ace9d2eef56b2af6 |
completed | April 29, 2026, 2:07 a.m. |
Created at: April 17, 2026, 8:35 p.m.