Triple
T18023452
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brendan O’Hare |
E431185
|
entity |
| Predicate | roleInArabStrap |
P129494
|
FINISHED |
| Object | touring musician |
—
|
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: touring musician | Statement: [Brendan O’Hare, roleInArabStrap, touring musician]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInArabStrap Context triple: [Brendan O’Hare, roleInArabStrap, touring musician]
-
A.
roleInArabia
Indicates that an entity holds or held a specific role, position, or function within the context of Arabia.
-
B.
roleInUAE
Indicates that an entity holds or has held a specific role, position, or function within the United Arab Emirates.
-
C.
roleInMedina
Indicates the specific function, position, or responsibility an entity holds within the context of Medina.
-
D.
roleAtKarbala
Indicates the specific role, position, or function an entity held in relation to the events of the Battle of Karbala.
-
E.
roleInMecca
Indicates that an entity holds or performs a specific role, function, or position in the context of Mecca.
- 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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b9c475dc819086c4cd86d663791f |
completed | April 19, 2026, 11:17 a.m. |
| PD | Predicate disambiguation | batch_69e3f904b8048190add43883cd7cb191 |
completed | April 18, 2026, 9:35 p.m. |
| PDg | Predicate description generation | batch_69e42d8eefa88190a700c7c1b4213e46 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:24 a.m.