Triple
T10808167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Robinson |
E255021
|
entity |
| Predicate | numberOfGunshots |
P23883
|
FINISHED |
| Object | seventeen |
—
|
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: seventeen | Statement: [Tom Robinson, numberOfGunshots, seventeen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGunshots Context triple: [Tom Robinson, numberOfGunshots, seventeen]
-
A.
numberOfGunshotWounds
Indicates the count of gunshot wounds associated with a particular entity or event.
-
B.
numberOfPeopleShot
Indicates the count of individuals who were shot in a particular event or context.
-
C.
numberOfShotsFired
chosen
Indicates the total count of shots that were discharged in the described event or action.
-
D.
numberOfGuns
Indicates the quantity of guns associated with a given entity or situation.
-
E.
numberOfGunmen
Indicates the quantity of individuals identified as gunmen involved in a particular event or situation.
- 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_69d6aa61c15c8190a1839550c56e75e1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733b506488190921e6a1f4168dd9e |
completed | April 9, 2026, 5:05 a.m. |
| PD | Predicate disambiguation | batch_69d6f3188f00819094ee8d65b187a333 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:18 p.m.