Triple
T27437659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hind bint Khuwaylid |
E690833
|
entity |
| Predicate | precededByHusbands |
P33258
|
FINISHED |
| Object | Abu Halah ibn Zurarah |
—
|
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: Abu Halah ibn Zurarah | Statement: [Hind bint Khuwaylid, precededByHusbands, Abu Halah ibn Zurarah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: precededByHusbands Context triple: [Hind bint Khuwaylid, precededByHusbands, Abu Halah ibn Zurarah]
-
A.
marriedBefore
chosen
Indicates that one entity entered into a marriage at an earlier time than the other entity.
-
B.
subsequentSpouse
Indicates that one person is a later spouse of another, following a previous marriage involving at least one of them.
-
C.
spouseLaterMarriedBy
Indicates that one’s spouse subsequently entered into a later marriage with another partner.
-
D.
givenToSecondHusbandBy
Indicates that something was transferred or bestowed upon a person by their second husband.
-
E.
exSpouse
Indicates that two people were formerly married to each other but are no longer spouses.
- 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_69ef5200fa0481908e28508d6e2c149e |
completed | April 27, 2026, 12:09 p.m. |
| NER | Named-entity recognition | batch_69f6a8df16a88190a23820e64a3b1f92 |
completed | May 3, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69f6a751d5e48190a77dcecbe7ef9f0b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 27, 2026, 12:44 p.m.