Triple
T16297914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Archer |
E395697
|
entity |
| Predicate | actedIn |
P1668
|
FINISHED |
| Object |
Green Ice
Green Ice is a 1981 romantic adventure-heist film set in Mexico, known for its blend of jewel theft, intrigue, and exotic locales.
|
E1206150
|
NE FINISHED |
How this triple was built (4 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: Green Ice | Statement: [Anne Archer, actedIn, Green Ice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Green Ice Context triple: [Anne Archer, actedIn, Green Ice]
-
A.
Icy Blast
Icy Blast is a cooling, menthol-scented variant of Irish Spring soap designed to provide a refreshing, invigorating clean.
-
B.
Ice
Ice is a television drama series featuring Cam Gigandet in a central role, set in the high-stakes world of the diamond trade.
-
C.
Ice
Ice is a DC Comics superheroine and longtime member of the Justice League known for her ice-based powers and close partnership with the fiery hero Fire.
-
D.
Ice
"Ice" is a song by Canadian singer-songwriter Sarah McLachlan from her acclaimed 1993 album *Fumbling Towards Ecstasy*.
-
E.
Ice
Ice is the massive Valyrian steel greatsword of House Stark, famously wielded by Eddard Stark in the world of "A Song of Ice and Fire" and its TV adaptation "Game of Thrones."
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Green Ice Triple: [Anne Archer, actedIn, Green Ice]
Generated description
Green Ice is a 1981 romantic adventure-heist film set in Mexico, known for its blend of jewel theft, intrigue, and exotic locales.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Green Ice Target entity description: Green Ice is a 1981 romantic adventure-heist film set in Mexico, known for its blend of jewel theft, intrigue, and exotic locales.
-
A.
Icy Blast
Icy Blast is a cooling, menthol-scented variant of Irish Spring soap designed to provide a refreshing, invigorating clean.
-
B.
Ice
Ice is a television drama series featuring Cam Gigandet in a central role, set in the high-stakes world of the diamond trade.
-
C.
Ice
Ice is a DC Comics superheroine and longtime member of the Justice League known for her ice-based powers and close partnership with the fiery hero Fire.
-
D.
Ice
"Ice" is a song by Canadian singer-songwriter Sarah McLachlan from her acclaimed 1993 album *Fumbling Towards Ecstasy*.
-
E.
Ice
Ice is the massive Valyrian steel greatsword of House Stark, famously wielded by Eddard Stark in the world of "A Song of Ice and Fire" and its TV adaptation "Game of Thrones."
- F. None of above. chosen
Provenance (5 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_69d87f23bb088190a16fbb91a1957ea5 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e25e2f486c8190b73c15f59335cde2 |
completed | April 17, 2026, 4:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f9d7ef48190b7acebebcb9608c3 |
completed | May 10, 2026, 6:03 a.m. |
| NEDg | Description generation | batch_6a0021459c4081908e4c1d2e0bc8a5be |
completed | May 10, 2026, 6:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a002221fe7c819083c8ede5e63b0908 |
completed | May 10, 2026, 6:13 a.m. |
Created at: April 10, 2026, 5:06 a.m.