Triple
T35866787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Constantine (TV series) |
E1037109
|
entity |
| Predicate | leadActorReprisedRoleIn |
P151721
|
FINISHED |
| Object | Arrow |
—
|
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: Arrow | Statement: [Constantine (TV series), leadActorReprisedRoleIn, Arrow]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorReprisedRoleIn Context triple: [Constantine (TV series), leadActorReprisedRoleIn, Arrow]
-
A.
leadRoleActor
Indicates that an actor performs a leading or principal role in a work or production.
-
B.
leadActorComebackFilm
Indicates that a film marks the return or comeback performance of its lead actor after a period of absence or decline.
-
C.
leadCharacterPreviouslyAppearedIn
chosen
Indicates that the lead character of the current work has appeared before in a prior work or context.
-
D.
replacesInLeadRole
Indicates that one entity takes over or substitutes for another entity in the primary or leading role within a given context or production.
-
E.
originalLeadActorRole
Indicates the role originally played by a particular lead actor in a given production or work.
- F. None of above.
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_69f76e1d279c8190843e5b64a0a12c3f |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:06 p.m.