Triple
T14909477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dallas Sidekicks |
E371220
|
entity |
| Predicate | notableCoach |
P550
|
FINISHED |
| Object | Tatu |
E1127122
|
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: Tatu | Statement: [Dallas Sidekicks, notableCoach, Tatu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tatu Context triple: [Dallas Sidekicks, notableCoach, Tatu]
-
A.
Tatu
chosen
Tatu is a Brazilian former professional indoor soccer star best known for his prolific scoring and iconic celebrations with the Dallas Sidekicks.
-
B.
Tatuus
Tatuus is an Italian race car manufacturer renowned for producing single-seater chassis used in numerous junior formula series worldwide.
-
C.
Timbaki
Timbaki is a small coastal town in southern Crete, Greece, known for its agricultural production and proximity to archaeological sites such as Phaistos.
-
D.
Mambae
Mambae is an Austronesian language spoken primarily in the central and eastern regions of Timor-Leste.
-
E.
Loba
Loba is the Spanish-language version of the hit Shakira song "She Wolf," featuring adapted lyrics and vocals tailored for Spanish-speaking audiences.
- 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_69d85cc7ea3481908228b5acb7d06f12 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded61c6b9c8190a92934d49b98fe46 |
completed | April 15, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e84d9e481908edd6e3e5e14da54 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:25 a.m.