Triple
T16128454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tab Baldwin |
E391331
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Tab |
E1098099
|
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: Tab | Statement: [Tab Baldwin, nickname, Tab]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tab Context triple: [Tab Baldwin, nickname, Tab]
-
A.
Tab
chosen
Tab Turk is an individual whose given name is Tab, likely used as a personal or professional identifier.
-
B.
TAB
TAB is the abbreviation for the United Nations Technical Assistance Board, a UN body historically responsible for coordinating technical aid and development assistance to member countries.
-
C.
TAB
TAB is the IATA airport code for A.N.R. Robinson International Airport, the main international gateway to the island of Tobago in Trinidad and Tobago.
-
D.
TABS
TABS is a membership organization that represents and supports college-preparatory boarding schools through advocacy, research, and professional development.
-
E.
TABSO
TABSO was the former national airline of Bulgaria that operated during the socialist era before being reorganized into Balkan Bulgarian Airlines.
- 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_69d87f1bb0988190b490d273dbf3fd03 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e20206a6f08190aa648d2bb11e7878 |
completed | April 17, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff2adf5848190a1dd58bc76dd4ffd |
completed | May 10, 2026, 2:51 a.m. |
Created at: April 10, 2026, 5:01 a.m.