Triple
T15151354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linbaba |
E361948
|
entity |
| Predicate | hasFriend |
P8712
|
FINISHED |
| Object | Prabaker |
E73350
|
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: Prabaker | Statement: [Linbaba, hasFriend, Prabaker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prabaker Context triple: [Linbaba, hasFriend, Prabaker]
-
A.
Prabaker
chosen
Prabaker is a cheerful and loyal Indian guide and friend who plays a central supporting role in Gregory David Roberts' novel "Shantaram."
-
B.
Praba
Praba is an alias of Velupillai Prabhakaran, the founder and leader of the Liberation Tigers of Tamil Eelam (LTTE) in Sri Lanka.
-
C.
Prasouda
Prasouda is a small Greek island located in the Pagasetic Gulf, known for its tranquil natural setting and proximity to the coast of Thessaly.
-
D.
Prabhu
Prabhu is an Indian film actor best known for his work in Tamil cinema and as the son of legendary actor Sivaji Ganesan.
-
E.
Prasun
Prasun is a given name used in South Asian contexts, often associated with Indian or Nepali origins.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00609040081908c849475a2fa6443 |
completed | April 15, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febff44ef081908db5826c2626df06 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.