Triple
T36303575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonia Dreykov |
E893885
|
entity |
| Predicate | fightsLike |
P131423
|
FINISHED |
| Object | Captain America |
—
|
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: Captain America | Statement: [Antonia Dreykov, fightsLike, Captain America]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fightsLike Context triple: [Antonia Dreykov, fightsLike, Captain America]
-
A.
fightsUsing
Indicates that one entity engages in combat or conflict by employing another entity as its weapon, tool, or method of fighting.
-
B.
diesFighting
Indicates that an entity dies as a direct result of engaging in a fight or combat.
-
C.
fightingPreference
chosen
Indicates a relationship where one entity has a favored way, style, or choice of engaging in fights or combat relative to others.
-
D.
hasFight
Indicates that one entity engages in a physical or verbal conflict with another entity.
-
E.
fightingOutOf
Indicates that an individual is competing or representing themselves in a fight or match while being officially associated with a particular location, camp, or organization.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:09 p.m.