Triple
T36902643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitzmaurice |
E912080
|
entity |
| Predicate | hasOriginalGivenName |
P197510
|
FINISHED |
| Object | Maurice |
—
|
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: Maurice | Statement: [Fitzmaurice, hasOriginalGivenName, Maurice]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalGivenName Context triple: [Fitzmaurice, hasOriginalGivenName, Maurice]
-
A.
hasOriginalNameOf
Indicates that one entity is the original or earlier name from which another entity’s current or later name is derived.
-
B.
originalGivenName
chosen
Indicates the personal first name that an individual was originally given at birth or naming, before any later changes.
-
C.
hasOriginalCharacterName
Indicates that an entity is associated with its initial or primary character name before any changes or adaptations.
-
D.
hasGivenNames
Indicates that an entity possesses one or more personal (given) names assigned to it.
-
E.
hasUncertainOriginalName
Indicates that the entity’s original name is not known with certainty or is subject to doubt or ambiguity.
- 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_69f76e841b54819097e7fa768bbc70b2 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff0b6bc4a88190bf1d38c6ea26bcdc |
completed | May 9, 2026, 10:24 a.m. |
| PD | Predicate disambiguation | batch_69ff082a22f4819095ded971dbd8ea7b |
completed | May 9, 2026, 10:10 a.m. |
Created at: May 3, 2026, 4:13 p.m.