Triple
T36944500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Tanner |
E913866
|
entity |
| Predicate | relationshipTypeWithAnnWhitefield |
P205656
|
FINISHED |
| Object | reluctant suitor |
—
|
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: reluctant suitor | Statement: [John Tanner, relationshipTypeWithAnnWhitefield, reluctant suitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipTypeWithAnnWhitefield Context triple: [John Tanner, relationshipTypeWithAnnWhitefield, reluctant suitor]
-
A.
relationshipTypeWithNickWells
Indicates the specific nature or category of relationship that an entity has with Nick Wells.
-
B.
relationshipTypeWithAnnShankland
Indicates the specific type or nature of the relationship that an entity has with Ann Shankland.
-
C.
relationshipTypeWith Sebastian Wilder
Indicates the specific nature or category of relationship that an entity has with Sebastian Wilder.
-
D.
relationshipStatusWithAnna
Indicates the type or state of the relationship that an entity currently has with Anna.
-
E.
relationshipToAnnaPaul
Indicates that one entity has a specified personal or social relationship to Anna Paul.
- 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_69f76e8a6a5c81909c1febf32bf3fe23 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:13 p.m.