Triple
T10998763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauren Holiday |
E259952
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lauren Holiday |
E259952
|
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: Lauren Holiday | Statement: [Lauren Holiday, name, Lauren Holiday]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lauren Holiday Context triple: [Lauren Holiday, name, Lauren Holiday]
-
A.
Lauren Holiday
chosen
Lauren Holiday is a retired American soccer midfielder and two-time Olympic gold medalist and World Cup champion who starred for the U.S. women’s national team and in the National Women's Soccer League.
-
B.
Lauren Barber
Lauren Barber is best known as the wife of English musician and actor Gary Kemp.
-
C.
Leah Messer
Leah Messer is an American reality television personality best known for chronicling her life as a young mother on MTV’s Teen Mom 2.
-
D.
Torri Higginson
Torri Higginson is a Canadian actress best known for her role as Dr. Elizabeth Weir on the science fiction television series Stargate Atlantis.
-
E.
Lauren Dolgen
Lauren Dolgen is a television producer best known for developing and producing MTV’s teen pregnancy reality franchise, including "16 and Pregnant" and its spin-offs.
- 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_69d6aa8a6a548190a750f944ccdc8064 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d796d3b08c81909376cd73c42fcefe |
completed | April 9, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e34530ada081909dc58ff0261e93e7 |
completed | April 18, 2026, 8:47 a.m. |
Created at: April 8, 2026, 9:24 p.m.