Triple
T15493457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilson Fisk |
E378752
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object | Hammerhead |
E942755
|
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: Hammerhead | Statement: [Wilson Fisk, hasRival, Hammerhead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hammerhead Context triple: [Wilson Fisk, hasRival, Hammerhead]
-
A.
Hammerhead
chosen
Hammerhead is a Marvel Comics mobster supervillain known for his hardened, flat skull and frequent clashes with Spider-Man.
-
B.
The Shark
"The Shark" is a poem by Greek national poet Dionysios Solomos, reflecting his Romantic style and thematic focus on nature and the human condition.
-
C.
Grampus
Grampus is a Japanese professional football club based in Nagoya that competes in the J1 League.
-
D.
Barracuda
Barracuda is a tropical-style rum-based cocktail typically featuring pineapple and lime flavors, often served as a refreshing, fruity mixed drink.
-
E.
Barracuda
Barracuda is Seagate Technology’s long-running family of consumer and desktop hard disk drives known for high capacity and mainstream performance.
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fad723481908d2aa33e8f065f2f |
completed | April 16, 2026, 1:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3660fc6c81908caf1729260a8338 |
completed | May 9, 2026, 1:28 p.m. |
Created at: April 10, 2026, 3:49 a.m.