Triple
T23574276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Travelers |
E580203
|
entity |
| Predicate | leadActorForCharacter_GrantMacLaren |
P9616
|
FINISHED |
| Object | Eric McCormack |
—
|
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: Eric McCormack | Statement: [Travelers, leadActorForCharacter_GrantMacLaren, Eric McCormack]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leadActorForCharacter_GrantMacLaren Context triple: [Travelers, leadActorForCharacter_GrantMacLaren, Eric McCormack]
-
A.
leadActorForCharacterLance
Indicates that the referenced person is the primary actor who portrays the character named Lance.
-
B.
leadActorRolePattern
Indicates a recurring or characteristic type of role that an actor typically plays as a leading performer in productions.
-
C.
playedBy
chosen
Indicates that a role, character, or performance is portrayed or executed by a specific person or agent.
-
D.
worksForCharacterPlayedBy
Indicates that one character is employed by, or works under, another character who is portrayed by a specific actor.
-
E.
leadActorForCharacterDanny
Indicates that a person is the primary actor portraying the character named Danny in a production.
- 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_69e24601a9108190bc31e83833c980e4 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1afd4cde48190b5e4eb162d772319 |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:37 p.m.