Triple
T14969146
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Lawson |
E373270
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Tina Lawson |
E373270
|
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: Tina Lawson | Statement: [Tina Lawson, name, Tina Lawson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tina Lawson Context triple: [Tina Lawson, name, Tina Lawson]
-
A.
Tina Lawson
chosen
Tina Lawson is an American fashion designer and businesswoman best known as the mother of singers Beyoncé and Solange Knowles and for designing many of Destiny’s Child’s early costumes.
-
B.
Tina Barrett
Tina Barrett is a British singer, songwriter, and dancer best known as a member of the pop group S Club 7.
-
C.
Tina Clayton
Tina Clayton is a Jamaican sprinter known for her success in international youth and junior sprint competitions, particularly in the 100 meters.
-
D.
Tina Wilcox
Tina Wilcox is a fictional character portrayed by Ann Dusenberry, best known from the 1978 film "Jaws 2."
-
E.
Toni Lawrence
Toni Lawrence is an American actress known for her film and television work in the 1970s and 1980s.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e44cb0819096e09f8026ef8174 |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001799fbac8190b75a48a8c63e3381 |
completed | May 10, 2026, 5:28 a.m. |
Created at: April 10, 2026, 2:49 a.m.