Triple
T19080804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle Cry |
E467025
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tab Hunter |
—
|
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: Tab Hunter | Statement: [Battle Cry, starring, Tab Hunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tab Hunter Context triple: [Battle Cry, starring, Tab Hunter]
-
A.
Tab Hunter
chosen
Tab Hunter was an American film and television actor and teen idol of the 1950s and 1960s, known for his boy-next-door charm and roles in romantic comedies and dramas.
-
B.
Cal Hudson
Cal Hudson is a Starfleet officer in the Star Trek universe who defects to join the Maquis resistance movement against the Cardassians.
-
C.
Trevor Jackson
Trevor Jackson is an American actor, singer, and songwriter known for his roles in television dramas and films as well as his R&B music career.
-
D.
Eriq La Salle
Eriq La Salle is an American actor, director, and producer best known for his role as Dr. Peter Benton on the television series "ER."
-
E.
Corey Feldman
Corey Feldman is an American actor and former child star best known for his roles in 1980s films such as "The Goonies," "Stand by Me," and "The Lost Boys."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e8f8148190942cca6dd3e30caf |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.