Triple
T26179174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fatimah bint al-Khattab |
E654625
|
entity |
| Predicate | maritalStatusAtConversion |
P47002
|
FINISHED |
| Object | married to Saʿid ibn Zayd |
—
|
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: married to Saʿid ibn Zayd | Statement: [Fatimah bint al-Khattab, maritalStatusAtConversion, married to Saʿid ibn Zayd]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: maritalStatusAtConversion Context triple: [Fatimah bint al-Khattab, maritalStatusAtConversion, married to Saʿid ibn Zayd]
-
A.
spouseStatusAtMarriage
chosen
Indicates the marital status each partner held at the time their marriage to one another was formed.
-
B.
marital status
Indicates the legal or social state of a person’s marriage-related relationship, such as being single, married, divorced, or widowed.
-
C.
marriageStatusChange
Indicates a change in an entity’s marital status from one state to another at a particular point in time.
-
D.
maritalStatusBeforeRenunciation
Indicates the marital status a person had prior to formally renouncing a role, status, or affiliation.
-
E.
maritalStatusClaimed
Indicates that an entity has asserted or reported a particular marital status, regardless of whether it is verified or legally confirmed.
- 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_69ee5b45873c81909499203612d05d07 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f612607c388190ab61d1ac7d18e08d |
completed | May 2, 2026, 3:04 p.m. |
| PD | Predicate disambiguation | batch_69f611a9272881909093360472be832c |
completed | May 2, 2026, 3 p.m. |
Created at: April 26, 2026, 8:39 p.m.