Triple
T3149572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jerry Hall |
E65843
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Hall |
E141105
|
NE 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: Hall | Statement: [Jerry Hall, familyName, Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hall Context triple: [Jerry Hall, familyName, Hall]
-
A.
Hall
chosen
Hall is a common English surname borne by numerous notable individuals across diverse fields such as science, arts, and public life.
-
B.
Hall 2
Hall 2 is one of the main concourse areas within Paris’s Gare de Lyon railway station, serving passengers with platforms, services, and amenities.
-
C.
Hall 1
Hall 1 is one of the main passenger halls of Paris’s Gare de Lyon railway station, serving as a central area for platforms, services, and traveler amenities.
-
D.
Batasan Hall
Batasan Hall is the main legislative building in the Philippines where the House of Representatives holds its sessions.
-
E.
The Academy
The Academy is a prominent American professional organization of musicians, producers, and recording professionals best known for presenting the annual Grammy Awards.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ad8584485081909ed529e890cadc4a |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada5bf902c8190a490fa55e2dcecc0 |
completed | March 8, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224f94f3881909a277c45c9add0f5 |
completed | March 12, 2026, 2:29 a.m. |
Created at: March 8, 2026, 3:05 p.m.