Triple
T8840600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apl.de.ap |
E210380
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Apl de Ap |
E210380
|
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: Apl de Ap | Statement: [Apl.de.ap, alsoKnownAs, Apl de Ap]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apl de Ap Context triple: [Apl.de.ap, alsoKnownAs, Apl de Ap]
-
A.
Appar
Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
-
B.
Apl.de.ap
chosen
Apl.de.ap is a Filipino-American rapper, record producer, and founding member of the Grammy-winning hip hop group The Black Eyed Peas.
-
C.
Appel
Appel is the surname of Jayne Appel, an American former professional basketball player who starred at Stanford University and in the WNBA.
-
D.
Anput
Anput is an ancient Egyptian goddess associated with funerary rites and protection, often depicted as a female counterpart to the jackal-headed god Anubis.
-
E.
Anytos
Anytos is a figure from Greek mythology known primarily as a Titan or divine guardian associated with the Arcadian goddess Despoina.
- 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_69ca838967bc8190b46c3c80a2887ea4 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6085fe24819095139f18da92d7e7 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf899c5b288190b854acebc9fe33d1 |
completed | April 3, 2026, 9:34 a.m. |
Created at: March 30, 2026, 6:48 p.m.