Triple
T14323794
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanita Strahan |
E355162
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Tanita |
E355162
|
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: Tanita | Statement: [Tanita Strahan, givenName, Tanita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanita Context triple: [Tanita Strahan, givenName, Tanita]
-
A.
Tanita
chosen
Tanita is a given name most notably borne by Tanita Strahan, the daughter of former NFL player and television personality Michael Strahan.
-
B.
Kettler
Kettler is a German sporting goods and leisure equipment manufacturer known for products such as bicycles, fitness equipment, and table tennis tables.
-
C.
E-meter
The E-meter is an electronic device used in Scientology auditing sessions, claimed to measure changes in a person's mental or spiritual state by monitoring electrical resistance in the body.
-
D.
Tabata
Tabata is a residential neighborhood in Kita ward, northern Tokyo, known for its quiet streets and convenient access to central Tokyo.
-
E.
Mio
Mio is the Japanese-led Mercury Magnetospheric Orbiter, a component of the joint ESA–JAXA BepiColombo mission designed to study Mercury’s magnetic field and space environment.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883d1de88190a1e2bf2f1b692197 |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd468e263c81909d7261bcfd949579 |
completed | May 8, 2026, 2:12 a.m. |
Created at: April 10, 2026, 1:13 a.m.