Triple
T2950410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muggsy Bogues |
E79806
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tyrone |
E41992
|
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: Tyrone | Statement: [Muggsy Bogues, givenName, Tyrone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tyrone Context triple: [Muggsy Bogues, givenName, Tyrone]
-
A.
Tyrone
chosen
Tyrone is a masculine given name of Irish origin, notably borne by the classic Hollywood actor Tyrone Power.
-
B.
Tyrone
Tyrone is a historic county in Northern Ireland known for its rural landscapes, Gaelic cultural heritage, and role within the province of Ulster.
-
C.
Seamus
Seamus is the Irish form of the given name James, commonly used for boys in Ireland and among the Irish diaspora.
-
D.
Dignam
Dignam is a sharp-tongued, tough-as-nails police sergeant in the crime thriller film "The Departed," known for his brutal honesty and volatile temper.
-
E.
Mullally
Mullally is a surname of Irish origin borne by various notable individuals in fields such as entertainment, sports, and public service.
- 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_69ad8b1276588190a374a0b12e0f7bdf |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad98fbb7d4819081c241f3ff9165e5 |
completed | March 8, 2026, 3:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0fc7edc808190863ec8f99efa3875 |
completed | March 11, 2026, 5:24 a.m. |
Created at: March 8, 2026, 2:57 p.m.