Triple
T6954119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Wounds |
E161197
|
entity |
| Predicate | featuresFictionalCharacter |
P50141
|
FINISHED |
| Object | Starfire |
E308869
|
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: Starfire | Statement: [Old Wounds, featuresFictionalCharacter, Starfire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Starfire Context triple: [Old Wounds, featuresFictionalCharacter, Starfire]
-
A.
Starfire
chosen
Starfire is an alien princess and powerful superheroine known for her energy projection and emotional nature in the Teen Titans franchise.
-
B.
Bantam Starfire
Bantam Starfire is a young adult fiction imprint of Bantam Books known for publishing teen-oriented novels and series.
-
C.
Ramonda
Ramonda is a Marvel Comics character best known as the Queen Mother of Wakanda and the stepmother of T’Challa, the Black Panther.
-
D.
Orion Dash
Orion Dash is a digital-first imprint of the Orion Publishing Group that focuses on commercial fiction and genre titles.
-
E.
Terra (Teen Titans)
Terra is a troubled, earth-controlling teen superheroine from Teen Titans whose unstable powers and conflicted loyalties make her one of the series’ most tragic and complex characters.
- 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_69c68852a9a0819097797e31d492e273 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dacca12481908942ba793a104cc3 |
completed | March 27, 2026, 7:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75883f6888190a75515be49e7879e |
completed | March 28, 2026, 4:26 a.m. |
Created at: March 27, 2026, 2:29 p.m.