Triple
T1105279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexandra Hedison |
E25474
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Alexandra Hedison |
E25474
|
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: Alexandra Hedison | Statement: [Alexandra Hedison, name, Alexandra Hedison]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alexandra Hedison Context triple: [Alexandra Hedison, name, Alexandra Hedison]
-
A.
Alexandra Hedison
chosen
Alexandra Hedison is an American photographer, director, and former actress known for her contemporary art photography and her work on the television series "The L Word."
-
B.
Tyne Daly
Tyne Daly is an American actress acclaimed for her powerful performances in television dramas, film, and theater, including her iconic role in the series "Cagney & Lacey."
-
C.
Sela Ward
Sela Ward is an American actress known for her Emmy-winning performances in television dramas such as "Sisters" and "Once and Again."
-
D.
Daryl Hannah
Daryl Hannah is an American actress best known for her roles in films such as "Splash," "Blade Runner," and "Kill Bill."
-
E.
Jill St. John
Jill St. John is an American actress best known for playing Bond girl Tiffany Case in the James Bond film "Diamonds Are Forever."
- 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e21f048190bf4b63dd2c7c7641 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac66293b5c819091eb69db328d5698 |
completed | March 7, 2026, 5:53 p.m. |
Created at: March 1, 2026, 7:43 p.m.