Triple
T36410794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maxwell Reed |
E896872
|
entity |
| Predicate | Joan CollinsRelationship |
P185459
|
FINISHED |
| Object | first husband of Joan Collins |
—
|
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: first husband of Joan Collins | Statement: [Maxwell Reed, Joan CollinsRelationship, first husband of Joan Collins]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Joan CollinsRelationship Context triple: [Maxwell Reed, Joan CollinsRelationship, first husband of Joan Collins]
-
A.
hasRelationshipStatusWithJoanCrawford
Indicates that an entity has a specific relationship status with Joan Crawford.
-
B.
relationshipTypeWith Jessa Johansson
Indicates the specific nature or category of relationship that an entity has with Jessa Johansson.
-
C.
relationshipTypeWithJanieCrawford
Indicates the specific nature or category of relationship that an entity has with Janie Crawford.
-
D.
relationshipToCharmaineHollingsworth
Indicates the specific nature of the relationship an entity has with Charmaine Hollingsworth.
-
E.
relationshipTypeWith Alicia Johns
Indicates the specific type or nature of the relationship that an entity has with Alicia Johns.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69f7be9b9ab481908328e0e8d8ac73d4 |
completed | May 3, 2026, 9:31 p.m. |
Created at: May 3, 2026, 4:10 p.m.