Triple
T14969173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tina Lawson |
E373270
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Knowles |
E1010505
|
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: Knowles | Statement: [Tina Lawson, familyName, Knowles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knowles Context triple: [Tina Lawson, familyName, Knowles]
-
A.
Knowles
Knowles is a small unincorporated community located in Lea County in southeastern New Mexico.
-
B.
Knowles
chosen
Knowles is an English surname historically associated with several notable figures, including British naval officers and public personalities.
-
C.
Knowles-Carter
Knowles-Carter is the hyphenated married surname of American singer Beyoncé, combining her maiden name Knowles with her husband Jay-Z’s surname Carter.
-
D.
Darold Duane Knowles
Darold Duane Knowles is a former Major League Baseball relief pitcher best known for his role in the Oakland Athletics’ early-1970s championship teams.
-
E.
Narada Michael Walden
Narada Michael Walden is an American drummer, songwriter, and Grammy-winning record producer known for crafting major pop and R&B hits for artists such as Whitney Houston and Aretha Franklin.
- 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_69fe8be4b0a88190989022108a58370d |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:49 a.m.