Triple
T12907173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Get a Grip |
E308756
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Flesh |
E710227
|
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: Flesh | Statement: [Get a Grip, hasPart, Flesh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flesh Context triple: [Get a Grip, hasPart, Flesh]
-
A.
Flesh
Flesh is a science fiction novel by Philip José Farmer that explores themes of sexuality, religion, and societal transformation in a far-future Earth.
-
B.
Flesh
chosen
Flesh is a 1968 underground film directed by Paul Morrissey and produced by Andy Warhol, known for its raw, avant-garde portrayal of a male hustler in New York City.
-
C.
In the Flesh
In the Flesh is a British film featuring actress Rita Tushingham in a prominent role.
-
D.
Live Flesh
Live Flesh is a 1997 Spanish drama film by Pedro Almodóvar that intertwines passion, crime, and fate in a story of obsession and redemption set in Madrid.
-
E.
Proud Flesh
Proud Flesh is a photographic series by Sally Mann that features intimate, large-format black-and-white portraits of her husband, exploring themes of aging, vulnerability, and the human body.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9719d4d1c8190a2c4f362e1772a73 |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a565ce508190a73f33708e61dc7d |
completed | May 3, 2026, 1:31 a.m. |
Created at: April 9, 2026, 5:41 p.m.