Triple
T13105143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annabella Sciorra |
E310824
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | GLOW |
E315264
|
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: GLOW | Statement: [Annabella Sciorra, notableWork, GLOW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GLOW Context triple: [Annabella Sciorra, notableWork, GLOW]
-
A.
GLOW
chosen
GLOW is a comedy-drama television series on Netflix that follows the personal and professional lives of a group of women who perform in a 1980s professional wrestling promotion.
-
B.
GLOWED UP
"GLOWED UP" is a hip-hop/electronic track by rapper Anderson .Paak produced by Canadian DJ and producer KAYTRANADA, known for its smooth groove and soulful, danceable vibe.
-
C.
Glow Up
"Glow Up" is a song featured on Mary J. Blige's 2017 R&B album "Strength of a Woman."
-
D.
Glow
"Glow" is a track by the artist Tasty, likely featuring an energetic, electronic-influenced sound characteristic of their music style.
-
E.
Glow
"Glow" is a pop song by Australian singer Jessica Mauboy, showcasing her soulful vocals and contemporary R&B-influenced style.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98154c9f48190aeca779d97151759 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e277b89c8190a0d895eb46836525 |
completed | May 3, 2026, 5:51 a.m. |
Created at: April 9, 2026, 9:05 p.m.