Triple
T6806533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manny Pacquiao |
E156320
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Pac-Man
Pac-Man is the ring nickname of Filipino boxing legend Manny Pacquiao, reflecting his aggressive, relentless fighting style.
|
E619590
|
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: Pac-Man | Statement: [Manny Pacquiao, nickname, Pac-Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pac-Man Context triple: [Manny Pacquiao, nickname, Pac-Man]
-
A.
Pac-Man
Pac-Man is a classic arcade video game character created by Namco, known for navigating mazes while eating pellets and avoiding ghosts.
-
B.
Pacman
Pacman is a lightweight, command-line package manager originally developed for Arch Linux, known for its speed and simple binary package handling.
-
C.
Pong
Pong is a comic ministerial character in Giacomo Puccini’s opera "Turandot," serving alongside Ping and Pang to provide both humor and commentary on the unfolding drama.
-
D.
Pong
Pong is one of the earliest and most influential arcade video games, a simple two-dimensional table tennis simulation that helped launch the commercial video game industry.
-
E.
Mini Paceman
The Mini Paceman is a compact three-door crossover SUV coupé produced by Mini, known for its sporty styling and elevated ride height.
- 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: Pac-Man Triple: [Manny Pacquiao, nickname, Pac-Man]
Generated description
Pac-Man is the ring nickname of Filipino boxing legend Manny Pacquiao, reflecting his aggressive, relentless fighting style.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pac-Man Target entity description: Pac-Man is the ring nickname of Filipino boxing legend Manny Pacquiao, reflecting his aggressive, relentless fighting style.
-
A.
Pac-Man
Pac-Man is a classic arcade video game character created by Namco, known for navigating mazes while eating pellets and avoiding ghosts.
-
B.
Pacman
Pacman is a lightweight, command-line package manager originally developed for Arch Linux, known for its speed and simple binary package handling.
-
C.
Pong
Pong is a comic ministerial character in Giacomo Puccini’s opera "Turandot," serving alongside Ping and Pang to provide both humor and commentary on the unfolding drama.
-
D.
Pong
Pong is one of the earliest and most influential arcade video games, a simple two-dimensional table tennis simulation that helped launch the commercial video game industry.
-
E.
Mini Paceman
The Mini Paceman is a compact three-door crossover SUV coupé produced by Mini, known for its sporty styling and elevated ride height.
- 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_69c68826e6a48190a3d220b541e639de |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d30a006081908996e31aa7ced0ac |
completed | March 27, 2026, 6:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71aa27cec81909f45911ffa44ea6f |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71bb4dcf08190b3b333f6a282bd8a |
completed | March 28, 2026, 12:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c4133908190a2b0a79475101666 |
completed | March 28, 2026, 12:09 a.m. |
Created at: March 27, 2026, 2:16 p.m.