Triple
T9545687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Molly Stark |
E230277
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Molly |
E566525
|
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: Molly | Statement: [Molly Stark, givenName, Molly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Context triple: [Molly Stark, givenName, Molly]
-
A.
Molly
Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
-
B.
Molly
Molly is a fictional character played by Irish actress Dominique McElligott, known from her work in film and television.
-
C.
Molly
"Molly" is a song featured on the album *Tell It All Brother*, associated with the country-pop duo Kenny Rogers & The First Edition.
-
D.
Molly
Molly is the central female character in James Joyce’s novel "Ulysses," renowned for her candid, stream-of-consciousness monologue that concludes the book.
-
E.
Molly
chosen
Molly is a feminine given name commonly used in English-speaking countries, often as a diminutive of Mary.
- 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_69ca847c70b8819088a0a0bad64a50d6 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9901f2bc8190a4076f5947660df9 |
completed | April 1, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c747e608190b2fa470324fff454 |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.