Triple
T16034269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alexander Ludwig |
E388926
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Heels |
E1058048
|
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: Heels | Statement: [Alexander Ludwig, notableWork, Heels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heels Context triple: [Alexander Ludwig, notableWork, Heels]
-
A.
Heels
Heels is a shortened nickname commonly used to refer to the University of North Carolina Tar Heels athletic teams and their supporters.
-
B.
Heels
chosen
Heels is a television drama series centered on the world of small-town professional wrestling and the personal and familial conflicts behind the scenes.
-
C.
High Heels
"High Heels" is a song featured on the album or release identified as B7.
-
D.
High Heels
High Heels is a 1991 Spanish melodramatic film by Pedro Almodóvar that explores complex mother-daughter relationships, love, and identity with his signature blend of dark humor and vivid style.
-
E.
Spike Heels
Spike Heels is a contemporary stage play by Theresa Rebeck that explores power, sexuality, and class dynamics through sharp, darkly comic dialogue.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833a5aa88190a5cc3f82d55f5b62 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd1cafc81909125174eed475d55 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.