Triple
T30616118
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawk and Dove |
E779320
|
entity |
| Predicate | originalHawkRealName |
P9233
|
FINISHED |
| Object | Hank Hall |
—
|
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: Hank Hall | Statement: [Hawk and Dove, originalHawkRealName, Hank Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalHawkRealName Context triple: [Hawk and Dove, originalHawkRealName, Hank Hall]
-
A.
laterHawkRealName
Indicates that one entity is the real name assumed by a character during a later period when they are known as "Hawk."
-
B.
realName
chosen
Indicates that one entity is the actual, full, or birth name of another entity, which may be known by an alias, nickname, or alternate identity.
-
C.
wrestlerRealName
Indicates that the value is the real, legal name of the person who performs as a professional wrestler under a ring name.
-
D.
titleCharacterRealName
Indicates that a character known by a title or alias has the specified real (personal) name.
-
E.
predecessorRealName
Indicates that one entity is the real (actual) name of the predecessor of another entity.
- 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_69f224a3307081909a6dca8ca75dbf48 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a00532815c881908f10d9594458b3d7 |
completed | May 10, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_6a0052b9f030819081b8105bdcaf6d8f |
completed | May 10, 2026, 9:41 a.m. |
Created at: April 29, 2026, 8:26 p.m.