Triple
T6294913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Hall |
E141105
|
entity |
| Predicate | hasSurname |
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: [Stuart Hall, hasSurname, Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hall Context triple: [Stuart Hall, hasSurname, 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 A
Hall A is one of the large underground experimental caverns at Italy’s Gran Sasso National Laboratory, used primarily for cutting-edge particle and astroparticle physics experiments.
-
D.
Hall A
Hall A is one of the primary experimental halls at the Continuous Electron Beam Accelerator Facility (CEBAF), used for high-precision nuclear and particle physics experiments with electron beams.
-
E.
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.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06439a6908190b0a8ebf426d3ca02 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6537fc2ac8190a05779363ed2b3eb |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:27 p.m.