Triple
T37805699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handsome Jack |
E942492
|
entity |
| Predicate | relationshipToAngel |
P204394
|
FINISHED |
| Object | father |
—
|
LITERAL 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: father | Statement: [Handsome Jack, relationshipToAngel, father]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToAngel Context triple: [Handsome Jack, relationshipToAngel, father]
-
A.
relationshipWithAngelEyes
Indicates a personal or significant connection that an entity has with the individual referred to as AngelEyes.
-
B.
relationshipToGabriel
Indicates the nature or type of relationship an entity has with Gabriel.
-
C.
relationshipToAgnes
Indicates the specific familial, social, or other relational connection that one entity has to the person named Agnes.
-
D.
relationshipToEva
Indicates a specified type of personal or social relationship that an entity has with Eva.
-
E.
relationshipToOvermind
Indicates the nature or type of connection an entity has to an overarching controlling intelligence or central mind.
- F. None of above. chosen
Provenance (4 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_69f76ee8104c8190ab17133ccd8f86e6 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037cae084081909004d77514c5f286 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c84ecbc81908232e5215355f43b |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:19 p.m.