Triple
T31252413
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Halley |
E796860
|
entity |
| Predicate | relationshipTypeWithBobbyHicks |
P207382
|
FINISHED |
| Object | tenant–manager relationship |
—
|
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: tenant–manager relationship | Statement: [Halley, relationshipTypeWithBobbyHicks, tenant–manager relationship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithBobbyHicks Context triple: [Halley, relationshipTypeWithBobbyHicks, tenant–manager relationship]
-
A.
relationshipTypeWithBobbyBoucher
Indicates the specific nature or category of relationship that an entity has with Bobby Boucher.
-
B.
relationshipToDodgeHickey
Indicates a romantic or intimate relationship specifically involving Dodge Hickey as one of the partners.
-
C.
relationshipToEarlHickey
Indicates the nature or type of personal relationship an entity has with Earl Hickey.
-
D.
relationshipTypeWithBillHenrickson
Indicates the specific nature or category of relationship an entity has with Bill Henrickson.
-
E.
relationshipTypeWith Hank Evans
Indicates the specific nature or category of the relationship that an entity has with Hank Evans.
- 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_69f224dc84d0819081f1cb6f9127e6b1 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a037c9141dc819098d7fcc36e69882c |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379e5174c8190a0bdde7e381b7624 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c7ee0388190a29faeb5cdb0950a |
completed | May 12, 2026, 7:16 p.m. |
Created at: April 29, 2026, 9:12 p.m.