Triple
T30616119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawk and Dove |
E779320
|
entity |
| Predicate | originalDoveRealName |
P9233
|
FINISHED |
| Object | Don 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: Don Hall | Statement: [Hawk and Dove, originalDoveRealName, Don Hall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalDoveRealName Context triple: [Hawk and Dove, originalDoveRealName, Don Hall]
-
A.
laterDoveRealName
Indicates that the second entity is the real name that the first entity adopted or used at a later time.
-
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.
notRealNameOf
Indicates that the referenced name is not the entity’s actual or official name (e.g., it is false, fabricated, or otherwise not the real name of that entity).
-
D.
hasGivenNameOfRealPerson
Indicates that an entity bears the same given (first) name as a specific real person.
-
E.
firstTruthName
Indicates that the referenced name is the primary or original name by which a truth or fact is identified.
- 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_6a0056174c908190be99c91a70393e47 |
completed | May 10, 2026, 9:55 a.m. |
| PD | Predicate disambiguation | batch_6a00538e7e08819091ecd4316cd641a1 |
completed | May 10, 2026, 9:44 a.m. |
Created at: April 29, 2026, 8:26 p.m.